{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ebb02f44-1e8c-4df6-aa34-27a85fe0be77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.4, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "50b7169f-6993-452b-b761-1ddc77e621c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic regression model trained successfully...\n",
      "Support vector machine trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "# Model Definition\n",
    "mdl_lr = LogisticRegression() # Logistic Regression\n",
    "mdl_svm = SVC(probability=True) # Support Vector Machine, set probability to draw P-R Curve\n",
    "\n",
    "# Model Training\n",
    "mdl_lr.fit(X_train, y_train) # Logistic Regression\n",
    "print('Logistic regression model trained successfully...')\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "# Get confusion matrix of all models\n",
    "# Predict probabilities for each model\n",
    "y_proba_lr = mdl_lr.predict_proba(X_test)[:, 1] # Using probability of positive class\n",
    "y_proba_svm = mdl_svm.predict_proba(X_test)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "16ec2ef6-1f14-461f-b558-fc998b90ecdd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def get_prediction_from_proba(y_proba, threshold=0.5):\n",
    "    '''\n",
    "    y_proba - predict probabilities\n",
    "    threshold - threshold of probability\n",
    "    \n",
    "    y_pred - predict classes, y_proba > threshold is positive, otherwise negative\n",
    "    '''\n",
    "    y_pred = np.where(y_proba > threshold, 1, 0)\n",
    "    return y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "42dca3c4-a65d-4779-97d6-a7c78d2aa737",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "When threshold = 0.0 - Precision: 0.5000, Recall: 1.0000, F1 Score: 0.6667\n",
      "When threshold = 0.1 - Precision: 0.6149, Recall: 0.9900, F1 Score: 0.7586\n",
      "When threshold = 0.2 - Precision: 0.6963, Recall: 0.9400, F1 Score: 0.8000\n",
      "When threshold = 0.3 - Precision: 0.7333, Recall: 0.8800, F1 Score: 0.8000\n",
      "When threshold = 0.4 - Precision: 0.7568, Recall: 0.8400, F1 Score: 0.7962\n",
      "When threshold = 0.5 - Precision: 0.8200, Recall: 0.8200, F1 Score: 0.8200\n",
      "When threshold = 0.6 - Precision: 0.8229, Recall: 0.7900, F1 Score: 0.8061\n",
      "When threshold = 0.7 - Precision: 0.9000, Recall: 0.7200, F1 Score: 0.8000\n",
      "When threshold = 0.8 - Precision: 0.9104, Recall: 0.6100, F1 Score: 0.7305\n",
      "When threshold = 0.9 - Precision: 1.0000, Recall: 0.4000, F1 Score: 0.5714\n",
      "When threshold = 1.0 - Precision: 0.0000, Recall: 0.0000, F1 Score: 0.0000\n",
      "[[100. 100.]\n",
      " [  0.   0.]]\n"
     ]
    }
   ],
   "source": [
    "def get_precision_recall_f1(y_pred, y):\n",
    "    '''\n",
    "    Compute precision, recall, and F1 score of binary classification\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    epsilon = 1e-10\n",
    "    \n",
    "    # Compute confusion matrix\n",
    "    cm = confusion_matrix(y_pred, y)\n",
    "    \n",
    "    # Compute precision, recall, and F1 score\n",
    "    precision = cm[1, 1] / (cm[1, 1] + cm[1,0] + epsilon)\n",
    "    recall = cm[1, 1] / (cm[1, 1] + cm[0, 1] + epsilon)\n",
    "    f1 = 2 * (precision * recall) / (precision + recall + epsilon)\n",
    "    \n",
    "    return precision, recall, f1\n",
    "\n",
    "# Get predictions from probabilities\n",
    "for threshold in np.linspace(0, 1, 11):\n",
    "    y_pred_lr = get_prediction_from_proba(y_proba_lr, threshold)\n",
    "    precision_lr, recall_lr, f1_lr = get_precision_recall_f1(y_pred_lr, y_test)\n",
    "    print(f\"When threshold = {threshold:0.1f} - Precision: {precision_lr:.4f}, Recall: {recall_lr:.4f}, F1 Score: {f1_lr:.4f}\")\n",
    "\n",
    "print(confusion_matrix(y_pred_lr, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8c46f83e-90f4-42cd-9210-5a14106d9e7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "\n",
    "# Calculate precision and recall for various thresholds\n",
    "precision_lr, recall_lr, thresholds_lr = precision_recall_curve(y_test, y_proba_lr)\n",
    "precision_svm, recall_svm, thresholds_svm = precision_recall_curve(y_test, y_proba_svm)\n",
    "\n",
    "# Create the P-R curve of Logistic Regression and Support Vector Machine\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(recall_lr, precision_lr, marker='.', color='tab:blue', label='Model 2')\n",
    "ax.plot(recall_svm, precision_svm, marker='.', color='tab:orange', label='Model 3')\n",
    "ax.set_xlabel('Recall', fontsize=label_size)\n",
    "ax.set_ylabel('Precision', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "plt.legend(fontsize=ticklabel_size)\n",
    "\n",
    "# Add some threshold annotations of Logistic Regression\n",
    "for i in [0, int(len(thresholds_lr)/2), len(thresholds_lr)-1]:\n",
    "    plt.annotate(f'Threshold: {thresholds_lr[i]:.2f}', \n",
    "                    xy=(recall_lr[i]*0.8, thresholds_lr[i]), \n",
    "                    xytext=(5, 5), \n",
    "                    textcoords='offset points',\n",
    "                    fontsize=ticklabel_size)\n",
    "\n",
    "plt.savefig('P-R_Curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6e495b82-5d88-468a-9ced-3febb0ddcab0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate F1 scores for SVM model\n",
    "f1_svm = 2 * (precision_svm * recall_svm) / (precision_svm + recall_svm)\n",
    "\n",
    "# Drawing a curve with Recall as x-axis and F1-score as y-axis\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(recall_svm, f1_svm, marker='.', color='tab:orange', label='Model 3')\n",
    "ax.set_xlabel('Recall', fontsize=label_size)\n",
    "ax.set_ylabel('F1 Score', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Add some threshold annotations of SVM where F1-score is maximum\n",
    "max_f1_index = np.argmax(f1_svm)\n",
    "plt.annotate(f'Threshold: {thresholds_svm[max_f1_index]:.2f}', \n",
    "                    xy=(recall_svm[max_f1_index]*0.8, f1_svm[max_f1_index]), \n",
    "                    xytext=(5, 5), \n",
    "                    textcoords='offset points',\n",
    "                    fontsize=ticklabel_size)\n",
    "\n",
    "# Adding a dashed line to indicate the maximum F1 score\n",
    "plt.axvline(x=recall_svm[max_f1_index], color='tab:orange', linestyle='--')\n",
    "plt.axhline(y=f1_svm[max_f1_index], color='tab:orange', linestyle='--')\n",
    "\n",
    "# Adding text annotations for maximum F1 score\n",
    "plt.text(recall_svm[max_f1_index]-0.8, f1_svm[max_f1_index]-0.05, f'Max F1 Score: {f1_svm[max_f1_index]:.4f}', \n",
    "         horizontalalignment='left', verticalalignment='bottom', fontsize=ticklabel_size, color='tab:orange')\n",
    "\n",
    "# Adding text annotations below x-axis of Recall where F1-score is maximum\n",
    "plt.text(recall_svm[max_f1_index]-0.3, -0.05, f'Recall: {recall_svm[max_f1_index]:.4f}', \n",
    "         horizontalalignment='left', verticalalignment='bottom', fontsize=ticklabel_size, color='tab:orange')\n",
    "\n",
    "plt.savefig('F1_Curve.png', dpi=300)\n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93b5060d-6639-4650-83b0-8cc452dd0a08",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
